Description

• Title:
  Artificial intelligence as a coming revolution in medicine
• Creator:
  Ben Rhaiem, Rami;
  Tarsa, Grzegorz;
  Sudelska, Katarzyna;
  Sawińska, Zuzanna;
  Kępka, Przemysław;
  Łokczewska-Bojar, Aleksandra;
  Kuziemkowska, Daria;
  Kuźma, Jan;
  Skotalczyk, Magdalena;
  Łącka-Majcher, Anna
• Description:
  Introduction: The development of medicine and information technology in recent decades has undoubtedly contributed to improving public health. Artificial intelligence is a technology that has great potential to revolutionize the functioning of health care around the world. Appropriate use of the development of technology can revolutionize many areas of modern medicine, however, it should not be forgotten that this technology should be subjected to appropriate standardization and legal regulation. Objective: The purpose of this study is to review the available scientific literature in order to systematize the current knowledge on the use of artificial intelligence in the process of diagnosis and treatment. Ethical aspects related to the implementation of AI for use in health care are also analyzed. Results: Artificial intelligence uses deep machine learning algorithms. It is a technology that has been known for a long time, but recently the chances of its widespread use have increased significantly, although scientists still do not fully understand the operation of AI algorithms. Currently, there are attempts to use this technology in many medical fields such as cardiology, diagnostic imaging, gastroenterology, pathomorphology, ultrasound. Artificial intelligence can also be used to improve the functioning of patient service in health care. Summary: The development of artificial intelligence algorithms creates a huge opportunity to improve the quality of diagnostic and treatment processes. The current rapid development of the technology is revolutionizing many branches of medicine, improving treatment outcomes. However, the development of this technology requires the creation of an appropriate law governing AI in medicine.
• Object availability:
  free access
• Rights: https://creativecommons.org/licenses/by-nc-sa/4.0 ;
  Prawa autorskie (c) 2023 Rami Ben Rhaiem, Grzegorz Tarsa, Katarzyna Sudelska, Zuzanna Sawińska, Przemysław Kępka, Aleksandra Łokczewska-Bojar, Daria Kuziemkowska, Jan Kuźma, Magdalena Skotalczyk, Anna Łącka-Majcher
• Date:
  2023.09.09
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  English
• Source:
  Journal of Education, Health and Sport; Vol. 16 No. 1 (2023); 135-145;
  Journal of Education, Health and Sport; Tom 16 Nr 1 (2023); 135-145;
  2391-8306
• Format:
  application/pdf
• Publisher:
  Nicolaus Copernicus University, Toruń, Poland
• Relation: https://apcz.umk.pl/JEHS/article/view/45608/36444
• Subject:
  Radiology;
  Informatics;
  Technology;
  Medicine
• Identifier: https://apcz.umk.pl/JEHS/article/view/45608
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text